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文件名称:Data_Mining_for_Business_Applications

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    2012-11-16
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"Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from "data-centered pattern mining" to "domain driven actionable knowledge discovery" for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in theory and practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future research and development in the dialogue between academia and business."--BOOK JACKET.
相关搜索: kdd

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下载文件列表

Data Mining for Business Applications/A Framework for Context-Aware Trajectory.pdf
Data Mining for Business Applications/Blog Data Mining for Cyber Security Threats.pdf
Data Mining for Business Applications/Blog Data Mining.pdf
Data Mining for Business Applications/DAG Mining for Code Compaction.pdf
Data Mining for Business Applications/Data Mining Applications in Social Security.pdf
Data Mining for Business Applications/Data Mining for Algorithmic Asset Management.pdf
Data Mining for Business Applications/Domain Driven Tree Mining of Semi-structured Mental Health Information.pdf
Data Mining for Business Applications/Introduction to Domain Driven Data Mining.pdf
Data Mining for Business Applications/Microarray Data Mining.pdf
Data Mining for Business Applications/On Mining Maximal Pattern-Based Clusters.pdf
Data Mining for Business Applications/Ontology Mining for Personalized Search.pdf
Data Mining for Business Applications/Post-processing Data Mining Models for Actionability.pdf
Data Mining for Business Applications/Role of Human Intelligence in Domain Driven Data Mining.pdf
Data Mining for Business Applications/Security Data Mining-- A Survey Introducing Tamper-Resistance.pdf
Data Mining for Business Applications/Text Mining for Real-time Ontology Evolution.pdf
Data Mining for Business Applications/Visual Data Mining for Developing Competitive Strategies in Higher Education.pdf
Data Mining for Business Applications/Web Mining-- Extracting Knowledge from the World Wide Web.pdf
Data Mining for Business Applications

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